Job Description :

We are seeking an experienced GenAI Solution Architect with 10- 15 years of experience in enterprise application architecture, cloud-native solutions, and AI-driven platforms. The ideal candidate should possess deep expertise in Generative AI technologies, modern LLM ecosystems, cloud platforms (Azure, AWS, or GCP), and enterprise-scale solution architecture.

This role will be responsible for designing, architecting, and leading the implementation of production-grade GenAI solutions, enabling organizations to leverage Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and intelligent automation capabilities within enterprise applications and business processes.

Key Responsibilities :

- Design and architect scalable, secure, and production-ready Generative AI solutions aligned with business objectives.

- Define end-to-end GenAI architecture including LLM integration, AI orchestration, RAG pipelines, vector databases, and agentic workflows.

- Establish architecture standards, reusable frameworks, and best practices for enterprise AI adoption.

- Drive AI platform strategy, governance, scalability, and operational excellence.

- Lead the design and implementation of AI-powered applications, copilots, intelligent assistants, and agent-based solutions.

- Integrate GenAI capabilities into enterprise applications, workflows, APIs, and business processes.

- Architect Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge repositories and structured/unstructured data sources.

- Design secure and scalable AI service layers supporting multiple business applications.

- Work extensively with modern GenAI frameworks and technologies including :

1. LangChain

2. OpenAI Agent SDK

3. LangGraph

4. Semantic Kernel

5. AutoGen

6. LlamaIndex

- Design agent orchestration, prompt engineering, memory management, tool calling, and multi-agent workflows.

- Evaluate and recommend suitable foundation models and AI architectures based on business requirements.

- Architect and deploy AI solutions on Azure, AWS, or GCP cloud platforms.

- Leverage cloud-native AI services such as :

1. Azure OpenAI Service

2. Amazon Bedrock

3. Google Vertex AI

4. Azure AI Studio

- Design highly available, secure, and scalable cloud architectures for AI workloads.

- Optimize AI infrastructure for performance, reliability, security, and cost efficiency.

- Define AI governance frameworks, security controls, and compliance standards.

- Implement guardrails, content filtering, access controls, and responsible AI practices.

- Ensure compliance with enterprise security, privacy, and regulatory requirements.

- Establish model monitoring, observability, evaluation, and risk management frameworks.

- Provide architectural guidance and mentorship to development, engineering, and platform teams.

- Translate business requirements into scalable technical architectures and implementation roadmaps.

- Conduct architecture reviews, technical assessments, and solution design workshops.

- Collaborate with stakeholders across Product, Engineering, Data, Security, and Business teams.

Required Skills & Experience :

- 10- 15 years of experience in Solution Architecture, Enterprise Architecture, or Cloud Architecture.

- Strong hands-on experience designing and implementing Generative AI solutions.

- Expertise in :

1. Large Language Models (LLMs)

2. Retrieval-Augmented Generation (RAG)

3. AI Agents & Agentic Workflows

4. Prompt Engineering

5. Vector Search & Embeddings

- Hands-on experience with GenAI frameworks such as :

1. LangChain

2. OpenAI Agent SDK

3. LangGraph

4. Semantic Kernel

5. LlamaIndex

- Strong expertise in Azure, AWS, or GCP cloud platforms.

- Experience integrating AI solutions into enterprise applications and digital platforms.

- Strong understanding of cloud-native architectures, APIs, microservices, and distributed systems.

- Experience with AI observability, evaluation, monitoring, and governance frameworks.

- Excellent communication, stakeholder management, and leadership skills.